Sentence-BERT

Sentence-BERT, developed by UKP Lab, is a BERT-based model optimized to generate semantically meaningful sentence embeddings for efficient similarity comparisons.

Two-hop subgraph: this entity, every entity it directly relates to, and every entity those neighbors relate to. Drag a node, scroll to zoom, click to inspect — or click any neighbor and re-center the atlas there.